Abstract

Abstract This paper presents a simple and efficient morphological shape segmentation algorithm that is based on morphological skeleton transform. This algorithm decomposes a binary shape into simpler shape segments that not only appear to be quite natural, but also have well defined mathematical characterizations.

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